Summarize Clinical Question Notes

**Summarize Clinical Question Notes:**

The Clinical Question Summarizer LLM is fine-tuned to handle the nuances and complexities of medical questions as they occur in various clinical communication channels, including in-person consultations, emails, and call centers.

Built upon a robust NLP foundation, the model efficiently processes input texts of up to 1024 tokens, distilling them into clear, coherent summaries of up to 512 tokens. This feature is particularly beneficial for healthcare professionals and medical researchers who need to quickly grasp the essence of lengthy patient interactions or queries.

The model's training and fine-tuning process used a diverse dataset of medical questions and dialogues, ensuring a high degree of accuracy and relevance in its output. By capturing the intricacies of medical terminology and patient concerns, the Clinical Question Summarizer aids in improving patient care, streamlining workflow, and enhancing decision-making in medical environments.

**Key Features:**
- Handles up to 1024 tokens and produces summaries up to 512 tokens.
- Fine-Tuned on a diverse range of medical questions and dialogues.
- Ideal for clinical settings, medical research, and healthcare communication.
- Enhanced Decision Making: Aids in quick understanding and response formulation for medical inquiries.

**Additional Model Information**
- [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/MEDICAL_LLM/)
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2023/06/22/summarizer_clinical_questions_pipeline_en.html)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Summarization
- **Deployment Identifier:** 20. Summarize Clinical Question Notes

**How to run this model:**
1. Acquire a John Snow Labs Pay As You Go (PAYG) license from [John Snow Labs](https://my.johnsnowlabs.com/).
2. Import this listing.
3. Use the attached notebook to deploy the model with **20. Summarize Clinical Question Notes** as the model parameter. **Do not use the Open button on this page which appears after importing this listing. It will fail to deploy a model and does not work yet, you must use the attached notebook.**.

This model comes with optimized CPU and GPU builds. You can select which one to deploy via the notebook.

**How to obtain a PAYG license:**
1. Access [my.JohnSnowLabs.com](https://my.johnsnowlabs.com) and log in to your account. If you don't have an account, create one.
2. Go to the Get License page.
3. Switch to the PAYG Subscription tab and provide your credit card details.
4. Carefully review the End User License Agreement and the Terms and Conditions documents. If you agree, click on the Create Subscription button.
5. Once the process is complete, you will find your PAY-As-You-GO license listed on the My Subscriptions page.
6. Visit the My Subscriptions page and copy the PAYG license key by clicking on the copy icon in the License Key column.
7. Go to your Databricks notebook and paste your JSL-license into the JSL-License field in the top of the notebook. You are now ready to go!